Annotating Graphs in Matlab

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Sat Mar 20 2021 07:23:04 GMT+0000 (Coordinated Universal Time)

xx = -1:0.1:1
y = x.^2
plot(x,y)
xlabel('time [s]')
ylabel('amplitude')
title('my plot')
legend('y(t)')

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Matlab

@FlorianC #Matlab

Multiple Plots in Matlab Annotating Graphs in Matlab Solving equations in Matlab Solving Differential Equations in Matlab (numerically) Solving a higher order differential equation with ode45 (mass-spring-damper system)

#matlab #plots

Multiple Plots in Matlab

# multiple line plots
plot(monthz, avgTempLondon,'r:o')
hold on # tells the graph to keep the prior plots
plot(month, avgTempRio, 'b-*')

# mixed plot types
bar(month, maxTempLondon,'yellow')
hold on
plot(monthz, avgTempLondon,'red')

#matlab #plots

Annotating Graphs in Matlab

xx = -1:0.1:1
y = x.^2
plot(x,y)
xlabel('time [s]')
ylabel('amplitude')
title('my plot')
legend('y(t)')

#matlab

Solving equations in Matlab

# declare symbolic variables
syms a b c x
y = a*x^2 + b*x + c

soln = solve(y == 0, x);
# solve for specific values
ysoln = subs(soln, [a,b,c],[3,2,-6])
ysoln = simplify(ysoln);

# get decimal number with 9 digits
vpa(ysoln, 9)

#matlab

Solving Differential Equations in Matlab (numerically)

# where derivFunction is a fHandle representing the derivative of the dependent variable wrt. the independent variable
# [tSol, ySol] = ode45(derivFunction,interval,initialValue)

# Example:
r = 1;
K = 1000;
# the variables must be passed as independent variable first followed by the dependent variable
odefun = @(t,P) r*P*(1-P/K);
# solution interval values for t
tSpan = [0,10];
P0 = 20;
[tSol, PSol] = oder45(odefun,tSpan,P0)

# plot results
plot(tSol, PSol);

#matlab

Solving a higher order differential equation with ode45 (mass-spring-damper system)

# where x is a vector with its first entry x(1) corresponding to the position of a given mass and its second entry x(2) correpsonding to the velocity
dxdt = @(t,x) [x(2); -x(2)-x(1)];
tLim = [0,10];
x0 = [0,1];

[tSol,xSol] = ode45(dxdt, tLim, x0);

plot(tSol, xSol(:,1));
hold on
plot(tSol, xSol(:,2));

#python #data #visualisation #graphs #plots #charts #dashboards

Visualization

https://towardsdatascience.com/autoviz-automatically-visualize-any-dataset-75876a4eede4

#python #data #visualisation #graphs #plots #charts #dashboards

Data Visualization

#importing Autoviz class
from autoviz.AutoViz_Class import AutoViz_Class#Instantiate the AutoViz class
AV = AutoViz_Class()

df = AV.AutoViz('car_design.csv')

#python #data #visualisation #graphs #plots #charts #dashboards

Tkinter GUI

import tkinter as tk
from tkinter import ttk

root = tk.Tk()

# Pack a big frame so, it behaves like the window background
big_frame = ttk.Frame(root)
big_frame.pack(fill="both", expand=True)

# Set the initial theme
root.tk.call("source", "sun-valley.tcl")
root.tk.call("set_theme", "light")

def change_theme():
    # NOTE: The theme's real name is sun-valley-<mode>
    if root.tk.call("ttk::style", "theme", "use") == "sun-valley-dark":
        # Set light theme
        root.tk.call("set_theme", "light")
    else:
        # Set dark theme
        root.tk.call("set_theme", "dark")

# Remember, you have to use ttk widgets
button = ttk.Button(big_frame, text="Change theme!", command=change_theme)
button.pack()

root.mainloop()

Annotating Graphs in Matlab

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Annotating Graphs in Matlab

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